Agrarian sector in India is facing rigorous problem to maximize the crop productivity. More than 60 percent of the crop still depends on monsoon rainfall. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. The problem of yield prediction is a major problem that remains to be solved based on available data. Data ...

Most of greenhouse growers desire a determined amount of yields in order to accurately meet market requirements. The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (tomato) yield using environmental variables; here we aim at giving accurate yield amount. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS). The input to ANFIS is several parameters de...

Separating kits and mother to determine milk yield at 4th wk of lactation (MY4) could have negative consequences on the training and development of young rabbits. In this work, a total of 313 lactation curves (28 d long), taken from 2 different trials, were used to fit regression models to estimate MY4. In both trials, females were subjected to a semi-intensive reproductive rhythm [insemination...

Precision agriculture (PA) and information technology (IT) are closely interwoven. The former usually refers to the application of nowadays’ technology to agriculture. Due to the use of sensors and GPS technology, in today’s agriculture many data are collected. Making use of those data via IT often leads to dramatic improvements in efficiency. For this purpose, the challenge is to change these ...

In recent years, Analog design tools have helped reduce the design time for different kinds of custom analog circuits. One such tool, the CMU Analog Design System, ACACIA, can synthesize and layout various analog circuits, in about 10 minutes. Due to the strong correlation between yield and profitability, it is important to predict the design yield, and attempt to change the design to improve t...

We evaluated the potential of genetic distances estimated by microsatellite markers for the prediction of the performance of single-cross maize hybrids. We also examined the potential of molecular markers for the prediction of genotypic values and the applicability of the Monte Carlo method for a correlation of genetic distances and grain yield. Ninety S(0:2) progenies derived from three single...

using crop simulation models is an efficient complement to experimental research. crop models can also be helpful with respect to decision-making in sustainable farming system. this study was done to estimate genetic coefficients and evaluate performanced dssat in prediction of development, growth and yield in wheat. data from various field experiments for four wheat cultivars koohdasht, shirou...

Pre-harvest prediction of winter wheat (Triticum aestivum L.) grain yield and/or protein could assist farmers in generating yield maps and reliable product marketing. This study was conducted to determine the relationship between spectral measurements (taken from Feekes growth stage 8 to physiological maturity) and grain yield and grain protein. Spectral measurements were taken using photodiode...